Search, discover, and connect with over 1,800 researchers, faculty members, and scholars across all departments of KNUST.
Department of Optometry and Visual Science
The researcher has developed innovative approaches that integrate machine learning with traditional quantum mechanical and numerical methods. By applying deep learning techniques like neural networks and generative models, they aim to enhance the accuracy and scalability of simulations across various materials, particularly in predicting properties of organic semiconductors. Their work bridges computational chemistry, physics, and materials science by advancing predictive capabilities that are crucial for material innovation.
Department of Optometry and Visual Science
The researcher has published several papers focusing on retinal disease management in Ghana, covering themes such as macular pigments, supplementations for macular degeneration, treatments for other retinal disorders, and interventions against blindness. Despite some notable advancements, there is a need for further systematic reviews to integrate findings from these diverse studies. The research highlights strategies like supplementing with carotenoids, employing light exposure, and addressing visual impairments in a unified approach. Future work should explore the relationship between light factors and macular pigments to better understand their effects on vision care in Ghana.
Department of Optometry and Visual Science
Recent studies have highlighted significant advancements across diverse scientific disciplines. Innovations in biodegradable materials, environmental approaches to enhance learning, and the role of radiation in neuroplasticity have been prominent. Research also explores brain plasticity, food labeling impacts, and public health interventions for mental health. Additionally, innovations in energy storage, biocatalysis, and environmental chemistry are being developed to address sustainability and human behavior. These developments reflect a comprehensive approach to addressing global challenges through interdisciplinary research.
Department of Optometry and Visual Science
The researcher investigates the dynamics of complex networks and diffusion processes in evolving systems, seeking to understand real-world phenomena through sophisticated network models.
Department of Optometry and Visual Science
The researcher's work focuses on modeling complex biological and physical systems using network theory, with applications spanning gene regulation, cellular information processing, and collective behavior in biological networks. Their publications have appeared in high-impact journals such as *Nature Computation*, *Physical Review E*, and *BMC Systems Biology*.
Department of Optometry and Visual Science
This researcher has engaged in extensive work at the intersection of artificial intelligence, machine learning, and computational modeling. Their research focuses on developing novel frameworks for advancing AI-driven solutions to complex scientific challenges and industrial problems. By leveraging Bayesian inference and graph-based approaches, they have significantly contributed to enhancing the efficiency and accuracy of predictive models across diverse domains. Their interdisciplinary approach underscores the potential of combining advanced computational techniques with cutting-edge theoretical developments to drive innovation in scientific discovery and industrial applications.
Department of Optometry and Visual Science
The researcher investigates the interplay between connectivities in the eye and their impact on developmental disorders (connectivities and lens biology), retinal diseases ( Retinal Development and Disorders), and ocular Morbidity associated with blood diseases (Digital Imaging for Blood Diseases).
Department of Optometry and Visual Science
The researcher’s work focuses on advancing knowledge in ocular surface and contact lens health, particularly examining conditions like dry eye disease, low vision services, and myopia in Ghana. They also investigate ophthalmology topics such as demographics of myopia, awareness and preventive practices, and barriers to their provision in Ghana. Their research extends into glaucoma and retinal disorders across sub-Saharan Africa, focusing on diagnostic practice profiling and cross-sectional surveys. Additionally, they explore ergonomics and musculoskeletal disorders in the eyes, including issues with ocular surface health and human factors. The researcher’s broader research interests encompass improving ocular surface health through education, healthcare guidelines, and technology integration, as well as examining myopia knowledge and awareness across diverse populations and educational contexts.
Department of Optometry and Visual Science
The researcher has conducted extensive research on Myopia-related interventions across multiple domains, including cost-effectiveness analysis, myopia management, and the application of artificial intelligence in refractive error management, with a focus on improving vision care for children and enhancing the accuracy of optical care technologies.

Department of Optometry and Visual Science
The researcher has developed advanced tools across multiple disciplines—assistive technology in communication, ophthalmology, retinal imaging, education, and engineering—to enhance vision care, particularly for individuals with age-related macular degeneration (AMD). Their work integrates smart devices, refraction testing, algorithms, and visual processing mechanisms to improve diagnostic accuracy and safety. By exploring how these technologies influence visual perception, the researcher aims to create effective solutions that aid in AMD management while advancing technology across diverse fields.